Senior Programmer, Engine Reliability

What You'll Be Doing

• Build & evolve automated reliability foundations: including validation workflows, regression detection, integration stability, and performance/stability signals.
• Establish and grow realistic end-to-end validation surfaces across real devices and real services, so issues are caught before they reach games.
• Improve how shared engine changes are validated against real game integrations, reducing manual pain and making confidence more repeatable.
• Create and maintain tooling, infrastructure, and test surfaces that engine and horizontal teams can rely on.
• Partner with client, server, and live-ops teams to make systems testable and reduce surprises.
• Apply modern AI-assisted workflows to validation, automation, and test generation in pragmatic, well-guardrailed ways.
• Partner closely with client, server, and live-ops teams to make systems more testable and reduce downstream surprises.
• Contribute directly to priority technical work where improving testability or validation unlocks broader reliability gains.

What You Have

• Strong professional experience in modern C++.
• Engine/runtime development experience, with comfort debugging complex cross-platform issues across platforms such as iOS, Android, macOS, or Windows.
• Strong instincts around testing and validation strategy: you understand the trade-offs between unit, integration, and end-to-end testing, and where each creates the most value.
• Experience with build systems, automation, and developer tooling such as CMake, CI pipelines, and scripting.
• Strong collaboration skills and the ability to work effectively across teams without adding unnecessary process overhead.
• Interest in AI-assisted engineering workflows, with good judgment about where they add leverage and where they need guardrails.
• Comfort operating in an ambiguous space and helping shape a new team’s practices as it grows.

Would Be Nice if You Also Have

• Experience with device automation, device farms, or test frameworks such as Catch2 or gTest.
• Experience with observability and debugging tools such as Sentry, logs, metrics, tracing, or dashboards.
• Experience improving testability, validation, or reliability in shared engine or platform code.
• Experience working across client and backend workflows, even if your main background is client-side.
• Hands-on experience using AI-assisted development tools as part of day-to-day engineering work.